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What is 4 Intro Estimation about?

The document discusses estimation theory and maximum likelihood estimation. It defines estimation theory as determining parameters from data to yield the highest probability of obtaining observed data. Maximum likelihood estimates parameters such that the probability of the observed sample is maximized. Examples are provided for normal distribution parameter estimation using maximum likelihood.

Author

Dahir M Jeyte

Language

EN